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+  <div class="summary">
+<a href="#pub-methods">Public Member Functions</a> &#124;
+<a href="classarmnn_1_1_cl_concat_workload-members.html">List of all members</a>  </div>
+  <div class="headertitle">
+<div class="title">ClConcatWorkload Class Reference</div>  </div>
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+<p><code>#include &lt;<a class="el" href="_cl_concat_workload_8hpp_source.html">ClConcatWorkload.hpp</a>&gt;</code></p>
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+<a name="details" id="details"></a><h2 class="groupheader">Detailed Description</h2>
+<div class="textblock">
+<p class="definition">Definition at line <a class="el" href="_cl_concat_workload_8hpp_source.html#l00021">21</a> of file <a class="el" href="_cl_concat_workload_8hpp_source.html">ClConcatWorkload.hpp</a>.</p>
+</div><h2 class="groupheader">Constructor &amp; Destructor Documentation</h2>
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+          <td>(</td>
+          <td class="paramtype">const <a class="el" href="structarmnn_1_1_concat_queue_descriptor.html">ConcatQueueDescriptor</a> &amp;&#160;</td>
+          <td class="paramname"><em>descriptor</em>, </td>
+        </tr>
+        <tr>
+          <td class="paramkey"></td>
+          <td></td>
+          <td class="paramtype">const <a class="el" href="structarmnn_1_1_workload_info.html">WorkloadInfo</a> &amp;&#160;</td>
+          <td class="paramname"><em>info</em>, </td>
+        </tr>
+        <tr>
+          <td class="paramkey"></td>
+          <td></td>
+          <td class="paramtype">const arm_compute::CLCompileContext &amp;&#160;</td>
+          <td class="paramname"><em>clCompileContext</em>&#160;</td>
+        </tr>
+        <tr>
+          <td></td>
+          <td>)</td>
+          <td></td><td></td>
+        </tr>
+      </table>
+</div><div class="memdoc">
+
+<p class="definition">Definition at line <a class="el" href="_cl_concat_workload_8cpp_source.html#l00048">48</a> of file <a class="el" href="_cl_concat_workload_8cpp_source.html">ClConcatWorkload.cpp</a>.</p>
+<div class="fragment"><div class="line"><a name="l00051"></a><span class="lineno">   51</span>&#160;: ClBaseWorkload&lt;ConcatQueueDescriptor&gt;(descriptor, info)</div>
+<div class="line"><a name="l00052"></a><span class="lineno">   52</span>&#160;{</div>
+<div class="line"><a name="l00053"></a><span class="lineno">   53</span>&#160;    <span class="comment">// Report Profiling Details</span></div>
+<div class="line"><a name="l00054"></a><span class="lineno">   54</span>&#160;    <a class="code" href="_profiling_8hpp.html#a786492a3881a4c760ab1eec2149f4aba">ARMNN_REPORT_PROFILING_WORKLOAD_DESC</a>(<span class="stringliteral">&quot;ClConcatWorkload_Construct&quot;</span>,</div>
+<div class="line"><a name="l00055"></a><span class="lineno">   55</span>&#160;                                         descriptor.m_Parameters,</div>
+<div class="line"><a name="l00056"></a><span class="lineno">   56</span>&#160;                                         info,</div>
+<div class="line"><a name="l00057"></a><span class="lineno">   57</span>&#160;                                         this-&gt;GetGuid());</div>
+<div class="line"><a name="l00058"></a><span class="lineno">   58</span>&#160; </div>
+<div class="line"><a name="l00059"></a><span class="lineno">   59</span>&#160;    <span class="keywordtype">bool</span> allInputsAreSubtensors = <span class="keyword">true</span>;</div>
+<div class="line"><a name="l00060"></a><span class="lineno">   60</span>&#160; </div>
+<div class="line"><a name="l00061"></a><span class="lineno">   61</span>&#160;    <span class="comment">// Check that all inputs are sub-tensors</span></div>
+<div class="line"><a name="l00062"></a><span class="lineno">   62</span>&#160;    <span class="keywordflow">for</span> (<span class="keyword">auto</span> input : descriptor.m_Inputs)</div>
+<div class="line"><a name="l00063"></a><span class="lineno">   63</span>&#160;    {</div>
+<div class="line"><a name="l00064"></a><span class="lineno">   64</span>&#160;        <span class="keywordflow">if</span> (!input-&gt;GetParent())</div>
+<div class="line"><a name="l00065"></a><span class="lineno">   65</span>&#160;        {</div>
+<div class="line"><a name="l00066"></a><span class="lineno">   66</span>&#160;            <span class="comment">// Non sub-tensor input found so we need to execute the concat function</span></div>
+<div class="line"><a name="l00067"></a><span class="lineno">   67</span>&#160;            allInputsAreSubtensors = <span class="keyword">false</span>;</div>
+<div class="line"><a name="l00068"></a><span class="lineno">   68</span>&#160;            <span class="keywordflow">break</span>;</div>
+<div class="line"><a name="l00069"></a><span class="lineno">   69</span>&#160;        }</div>
+<div class="line"><a name="l00070"></a><span class="lineno">   70</span>&#160;    }</div>
+<div class="line"><a name="l00071"></a><span class="lineno">   71</span>&#160; </div>
+<div class="line"><a name="l00072"></a><span class="lineno">   72</span>&#160;    <span class="keywordflow">if</span> (allInputsAreSubtensors)</div>
+<div class="line"><a name="l00073"></a><span class="lineno">   73</span>&#160;    {</div>
+<div class="line"><a name="l00074"></a><span class="lineno">   74</span>&#160;        <span class="comment">// Can skip configuring the concat function since it&#39;s not executed</span></div>
+<div class="line"><a name="l00075"></a><span class="lineno">   75</span>&#160;        <span class="keywordflow">return</span>;</div>
+<div class="line"><a name="l00076"></a><span class="lineno">   76</span>&#160;    }</div>
+<div class="line"><a name="l00077"></a><span class="lineno">   77</span>&#160; </div>
+<div class="line"><a name="l00078"></a><span class="lineno">   78</span>&#160;    std::vector&lt;const arm_compute::ICLTensor *&gt; aclInputs;</div>
+<div class="line"><a name="l00079"></a><span class="lineno">   79</span>&#160;    <span class="keywordflow">for</span> (<span class="keyword">auto</span> input : <a class="code" href="classarmnn_1_1_base_workload.html#afb8d2c8817c75de9d01a4c0e0d5c160b">m_Data</a>.<a class="code" href="structarmnn_1_1_queue_descriptor.html#a4b50e46a6810018f3edecfb68b2a76b3">m_Inputs</a>)</div>
+<div class="line"><a name="l00080"></a><span class="lineno">   80</span>&#160;    {</div>
+<div class="line"><a name="l00081"></a><span class="lineno">   81</span>&#160;        arm_compute::ICLTensor&amp; aclInput  = armnn::PolymorphicPointerDowncast&lt;IClTensorHandle&gt;(input)-&gt;GetTensor();</div>
+<div class="line"><a name="l00082"></a><span class="lineno">   82</span>&#160;        aclInputs.emplace_back(&amp;aclInput);</div>
+<div class="line"><a name="l00083"></a><span class="lineno">   83</span>&#160;    }</div>
+<div class="line"><a name="l00084"></a><span class="lineno">   84</span>&#160; </div>
+<div class="line"><a name="l00085"></a><span class="lineno">   85</span>&#160;    arm_compute::ICLTensor&amp; output =</div>
+<div class="line"><a name="l00086"></a><span class="lineno">   86</span>&#160;            armnn::PolymorphicPointerDowncast&lt;IClTensorHandle&gt;(<a class="code" href="classarmnn_1_1_base_workload.html#afb8d2c8817c75de9d01a4c0e0d5c160b">m_Data</a>.<a class="code" href="structarmnn_1_1_queue_descriptor.html#a6abd491bb99ffe88bd472c1ae5a1ed1a">m_Outputs</a>[0])-&gt;GetTensor();</div>
+<div class="line"><a name="l00087"></a><span class="lineno">   87</span>&#160; </div>
+<div class="line"><a name="l00088"></a><span class="lineno">   88</span>&#160;    <span class="comment">// Create the layer function</span></div>
+<div class="line"><a name="l00089"></a><span class="lineno">   89</span>&#160;    <span class="keyword">auto</span> layer = std::make_unique&lt;arm_compute::CLConcatenateLayer&gt;();</div>
+<div class="line"><a name="l00090"></a><span class="lineno">   90</span>&#160; </div>
+<div class="line"><a name="l00091"></a><span class="lineno">   91</span>&#160;    {</div>
+<div class="line"><a name="l00092"></a><span class="lineno">   92</span>&#160;        <a class="code" href="_cl_workload_utils_8hpp.html#a2d57ef1645138f5f8a6dbd2ce92dc072">ARMNN_SCOPED_PROFILING_EVENT_CL_NAME_GUID</a>(<span class="stringliteral">&quot;ClConcatWorkload_configure&quot;</span>);</div>
+<div class="line"><a name="l00093"></a><span class="lineno">   93</span>&#160;        <span class="comment">// Configure input and output tensors</span></div>
+<div class="line"><a name="l00094"></a><span class="lineno">   94</span>&#160;        <span class="keywordtype">size_t</span> aclAxis = CalcAxis(descriptor.m_Parameters);</div>
+<div class="line"><a name="l00095"></a><span class="lineno">   95</span>&#160;        layer-&gt;configure(clCompileContext, aclInputs, &amp;output, aclAxis);</div>
+<div class="line"><a name="l00096"></a><span class="lineno">   96</span>&#160;    }</div>
+<div class="line"><a name="l00097"></a><span class="lineno">   97</span>&#160; </div>
+<div class="line"><a name="l00098"></a><span class="lineno">   98</span>&#160;    <span class="comment">// Prepare</span></div>
+<div class="line"><a name="l00099"></a><span class="lineno">   99</span>&#160;    layer-&gt;prepare();</div>
+<div class="line"><a name="l00100"></a><span class="lineno">  100</span>&#160;    m_Layer = std::move(layer);</div>
+<div class="line"><a name="l00101"></a><span class="lineno">  101</span>&#160;}</div>
+</div><!-- fragment -->
+<p class="reference">References <a class="el" href="_profiling_8hpp_source.html#l00227">ARMNN_REPORT_PROFILING_WORKLOAD_DESC</a>, <a class="el" href="_cl_workload_utils_8hpp_source.html#l00036">ARMNN_SCOPED_PROFILING_EVENT_CL_NAME_GUID</a>, <a class="el" href="namespacearmnn.html#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">armnn::info</a>, <a class="el" href="_workload_8hpp_source.html#l00089">BaseWorkload&lt; ConcatQueueDescriptor &gt;::m_Data</a>, <a class="el" href="_workload_data_8hpp_source.html#l00026">QueueDescriptor::m_Inputs</a>, <a class="el" href="_workload_data_8hpp_source.html#l00027">QueueDescriptor::m_Outputs</a>, and <a class="el" href="_workload_data_8hpp_source.html#l00066">QueueDescriptorWithParameters&lt; LayerDescriptor &gt;::m_Parameters</a>.</p>
+
+</div>
+</div>
+<h2 class="groupheader">Member Function Documentation</h2>
+<a id="ae071e8822437c78baea75c3aef3a263a"></a>
+<h2 class="memtitle"><span class="permalink"><a href="#ae071e8822437c78baea75c3aef3a263a">&#9670;&nbsp;</a></span>Execute()</h2>
+
+<div class="memitem">
+<div class="memproto">
+<table class="mlabels">
+  <tr>
+  <td class="mlabels-left">
+      <table class="memname">
+        <tr>
+          <td class="memname">void Execute </td>
+          <td>(</td>
+          <td class="paramname"></td><td>)</td>
+          <td> const</td>
+        </tr>
+      </table>
+  </td>
+  <td class="mlabels-right">
+<span class="mlabels"><span class="mlabel">override</span><span class="mlabel">virtual</span></span>  </td>
+  </tr>
+</table>
+</div><div class="memdoc">
+
+<p>Implements <a class="el" href="classarmnn_1_1_i_workload.html#a72ae00e6604850c8798c5e0d825ee7e4">IWorkload</a>.</p>
+
+<p class="definition">Definition at line <a class="el" href="_cl_concat_workload_8cpp_source.html#l00103">103</a> of file <a class="el" href="_cl_concat_workload_8cpp_source.html">ClConcatWorkload.cpp</a>.</p>
+<div class="fragment"><div class="line"><a name="l00104"></a><span class="lineno">  104</span>&#160;{</div>
+<div class="line"><a name="l00105"></a><span class="lineno">  105</span>&#160;    <span class="keywordflow">if</span> (m_Layer)</div>
+<div class="line"><a name="l00106"></a><span class="lineno">  106</span>&#160;    {</div>
+<div class="line"><a name="l00107"></a><span class="lineno">  107</span>&#160;        <a class="code" href="_cl_workload_utils_8hpp.html#a2d57ef1645138f5f8a6dbd2ce92dc072">ARMNN_SCOPED_PROFILING_EVENT_CL_NAME_GUID</a>(<span class="stringliteral">&quot;ClConcatWorkload_Execute&quot;</span>);</div>
+<div class="line"><a name="l00108"></a><span class="lineno">  108</span>&#160;        m_Layer-&gt;run();</div>
+<div class="line"><a name="l00109"></a><span class="lineno">  109</span>&#160;    }</div>
+<div class="line"><a name="l00110"></a><span class="lineno">  110</span>&#160;}</div>
+</div><!-- fragment -->
+<p class="reference">References <a class="el" href="_cl_workload_utils_8hpp_source.html#l00036">ARMNN_SCOPED_PROFILING_EVENT_CL_NAME_GUID</a>.</p>
+
+</div>
+</div>
+<hr/>The documentation for this class was generated from the following files:<ul>
+<li>src/backends/cl/workloads/<a class="el" href="_cl_concat_workload_8hpp_source.html">ClConcatWorkload.hpp</a></li>
+<li>src/backends/cl/workloads/<a class="el" href="_cl_concat_workload_8cpp_source.html">ClConcatWorkload.cpp</a></li>
+</ul>
+</div><!-- contents -->
+</div><!-- doc-content -->
+<div class="ttc" id="a_cl_workload_utils_8hpp_html_a2d57ef1645138f5f8a6dbd2ce92dc072"><div class="ttname"><a href="_cl_workload_utils_8hpp.html#a2d57ef1645138f5f8a6dbd2ce92dc072">ARMNN_SCOPED_PROFILING_EVENT_CL_NAME_GUID</a></div><div class="ttdeci">#define ARMNN_SCOPED_PROFILING_EVENT_CL_NAME_GUID(label)</div><div class="ttdoc">Creates a profiling event that uses GetGuid() and GetName() from the calling class.</div><div class="ttdef"><b>Definition:</b> <a href="_cl_workload_utils_8hpp_source.html#l00036">ClWorkloadUtils.hpp:36</a></div></div>
+<div class="ttc" id="astructarmnn_1_1_queue_descriptor_html_a6abd491bb99ffe88bd472c1ae5a1ed1a"><div class="ttname"><a href="structarmnn_1_1_queue_descriptor.html#a6abd491bb99ffe88bd472c1ae5a1ed1a">armnn::QueueDescriptor::m_Outputs</a></div><div class="ttdeci">std::vector&lt; ITensorHandle * &gt; m_Outputs</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.html#l00027">WorkloadData.hpp:27</a></div></div>
+<div class="ttc" id="a_profiling_8hpp_html_a786492a3881a4c760ab1eec2149f4aba"><div class="ttname"><a href="_profiling_8hpp.html#a786492a3881a4c760ab1eec2149f4aba">ARMNN_REPORT_PROFILING_WORKLOAD_DESC</a></div><div class="ttdeci">#define ARMNN_REPORT_PROFILING_WORKLOAD_DESC(name, desc, infos, guid)</div><div class="ttdef"><b>Definition:</b> <a href="_profiling_8hpp_source.html#l00227">Profiling.hpp:227</a></div></div>
+<div class="ttc" id="aclassarmnn_1_1_base_workload_html_afb8d2c8817c75de9d01a4c0e0d5c160b"><div class="ttname"><a href="classarmnn_1_1_base_workload.html#afb8d2c8817c75de9d01a4c0e0d5c160b">armnn::BaseWorkload&lt; ConcatQueueDescriptor &gt;::m_Data</a></div><div class="ttdeci">ConcatQueueDescriptor m_Data</div><div class="ttdef"><b>Definition:</b> <a href="_workload_8hpp_source.html#l00089">Workload.hpp:89</a></div></div>
+<div class="ttc" id="astructarmnn_1_1_queue_descriptor_html_a4b50e46a6810018f3edecfb68b2a76b3"><div class="ttname"><a href="structarmnn_1_1_queue_descriptor.html#a4b50e46a6810018f3edecfb68b2a76b3">armnn::QueueDescriptor::m_Inputs</a></div><div class="ttdeci">std::vector&lt; ITensorHandle * &gt; m_Inputs</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.html#l00026">WorkloadData.hpp:26</a></div></div>
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+    <li class="navelem"><a class="el" href="namespacearmnn.html">armnn</a></li><li class="navelem"><a class="el" href="classarmnn_1_1_cl_concat_workload.html">ClConcatWorkload</a></li>
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